Triple

T6173251
Position Surface form Disambiguated ID Type / Status
Subject High Brooms area E137754 entity
Predicate locatedIn P40 FINISHED
Object Royal Tunbridge Wells E4519 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Royal Tunbridge Wells | Statement: [High Brooms area, locatedIn, Royal Tunbridge Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Tunbridge Wells
Context triple: [High Brooms area, locatedIn, Royal Tunbridge Wells]
  • A. Royal Tunbridge Wells, Kent, England chosen
    Royal Tunbridge Wells, Kent, England is a historic spa town in southeast England known for its Georgian architecture, the Pantiles promenade, and its status as a popular tourist and commuter destination.
  • B. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • C. Purley
    Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
  • D. Speldhurst
    Speldhurst is a rural village and civil parish in Kent, England, known for its historic church, traditional pubs, and scenic countryside near Royal Tunbridge Wells.
  • E. Beaconsfield
    Beaconsfield is a suburban city on the western part of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d94c47481909745b2533926a1ca completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d7783988190a0f0c8b37abe7069 completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:18 p.m.